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Character recognition method

A text recognition and text technology, which is applied in the field of image recognition, can solve the problems of low text recognition accuracy and achieve the effect of improving precision and accuracy

Inactive Publication Date: 2017-03-15
GUANGXI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0006] In view of the above, it is necessary to provide a computer fault detection system and method and a text recognition method, the purpose of which is to solve the technical problem that the existing image text recognition methods have low recognition accuracy for text

Method used

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Embodiment Construction

[0023] A character recognition method, is characterized in that, comprises the following steps:

[0024] Obtain the image to be recognized; the image to be recognized can be any image that requires text recognition, and the image to be recognized can come from an external device. The image to be recognized may be an original image, or an image obtained by preprocessing the original image, and the image to be recognized may be in image formats such as jpg, bmp, png, etc.

[0025] Preprocessing of acquired images, including thresholding, thresholding, and skew correction. Thresholding: the thresholding includes a fixed thresholding method, an adaptive thresholding method, an Otsu method or an iterative method. The thresholding of the image is conducive to the further processing of the image, and the image with single foreground information and background information is obtained, which makes the image simple, and the amount of data is reduced, and the outline of the target of in...

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Abstract

The invention relates to the technical field of image recognition, and especially relates to a character recognition method. The method comprises the following steps: obtaining an image to be recognized; preprocessing the obtained image: performing image tilt correction to correct the image and performing threshold processing to get an image with single foreground information and background information; analyzing and processing the image: analyzing the inter-row texture features of the image and obtaining the character matrix parameters of the image; segmenting the image: segmenting the image based on the character matrix parameters to form a plurality of sub images, and obtaining character blocks of the image; and performing recognition: separately processing the character blocks, obtaining the image features of the character blocks, and recognizing the image features, wherein image correction includes the sub steps of expanding the image, detecting the edge of the image after expansion, performing Hough transform on the edge points to find the angle of the longest line, getting the angle of the straight line and rotating the angle of the image. The method is simple and easy to implement, and is of high recognition rate.

Description

[0001] 【Technical field】 [0002] The invention relates to the technical field of image recognition, in particular to a computer fault detection system and method, and a character recognition method. [0003] 【Background technique】 [0004] With the widespread application of image acquisition equipment such as digital cameras, video cameras, and ultra-high-speed scanners, information in images has attracted more and more attention. The text embedded in the image is an important way of expressing the semantic content of the image, which can provide some important information that people need. For example, the text in an image can be an overview of the content of the image. If the text in the image can be automatically extracted and recognized, the computer can automatically understand the content of the image. Let the computer recognize the text in the image like a human being, which is of great significance for the storage, classification, understanding and retrieval of images...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/32
CPCG06V30/1478G06V30/153
Inventor 何新霞
Owner GUANGXI UNIV
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